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integration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | DiverfarmingEC| DiverfarmingAuthors: Marianna Cerasuolo;Marianna Cerasuolo;ECOSSE executable file for Mac and Windows and example of input files. The model ECOSSE, initially developed by Prof. Jo Smith (University of Aberdeen), was modified to account of all diversifications and land uses considered in Diverfarming.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 43visibility views 43 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Publisher:Zenodo Funded by:EC | TRADITOM, EC | G2P-SOL, EC | HARNESSTOMEC| TRADITOM ,EC| G2P-SOL ,EC| HARNESSTOMAuthors: Clara Pons; Antonio J.Monforte;Clara Pons; Antonio J.Monforte;Dataset 6. Complete set of imputed SNPs located on chromosomes and accessions. Dataset 7. Complete set of SNPs located on chromosomes and accessions that have passed all filters.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5720771&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 80visibility views 80 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5720771&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022 Italy English Funded by:EC | Blue Cloud, EC | MOVINGEC| Blue Cloud ,EC| MOVINGLenzi E.; Bartalesi V.; Pratelli N.; Coro G.; Pagano P.;In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface. The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event). All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared. Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 56visibility views 56 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::7798d971d586c6d4d30ce54f8048e25f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 Italy English Funded by:EC | Blue Cloud, EC | DESIRA, EC | SoBigData-PlusPlus +1 projectsEC| Blue Cloud ,EC| DESIRA ,EC| SoBigData-PlusPlus ,EC| EOSC-PillarAuthors: Mangione D.; Candela L.; Castelli D.;Mangione D.; Candela L.; Castelli D.;Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::6be740a1eda0860367f15d31aa845839&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 Italy English Funded by:EC | SoBigData-PlusPlus, EC | Blue Cloud, EC | EOSC-Pillar +1 projectsEC| SoBigData-PlusPlus ,EC| Blue Cloud ,EC| EOSC-Pillar ,EC| DESIRAAuthors: Candela L.; Castelli D.; Mangione D.;Candela L.; Castelli D.; Mangione D.;Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::06c6bdceb2e6bd4ed90c07bd0e5794a6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 Italy English Funded by:EC | AGINFRA PLUSEC| AGINFRA PLUSAuthors: Sinibaldi F.;Sinibaldi F.;The Java library is a component of gCube framework aimed at translating CKAN items into Zenodo depositions, allowing contextual editing and publication.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::7974245c12b2a4c19a0c7ea584dd3780&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 EnglishPublisher:Zenodo Funded by:EC | CATEC| CATAuthors: Kraaijenbrink, P. D. A.; Immerzeel, W. W.;Kraaijenbrink, P. D. A.; Immerzeel, W. W.;This dataset contains the raw data as well as produced image mosaics, digital elevation models (DEMs) and data derivatives of optical (RGB) unmanned aerial vehicle surveys of the debris-covered Lirung Glacier (9 surveys, 2013–2018) and Langtang Glacier (7 surveys, 2014–2018) in the Langtang Catchment, Nepalese Himalaya. All data in this dataset are stored in tape archive (tar) or gzip-compressed tape archive (tar.gz) formats and require extraction before use. The projected coordinate system used in this dataset is WGS 1984 UTM Zone 45N (EPSG:32645). Survey dates are always provided as yyyymmdd. File descriptions dems_<glacier>.tar 20 cm resolution DEMs that were derived from the raw UAV images. DEMs of all survey dates are included in the tar archives. File format is GeoTIFF. orthomosaics_<glacier>.tar 10 cm resolution image mosaics of orthorectified source imagery (orthomosaics) that were derived from the raw UAV images. Orthomosaics of all survey dates are included in the tar archives. File format is GeoTIFF. point-clouds_<glacier>.tar.gz Raw dense point clouds that were derived from the raw UAV images. Point clouds of all survey dates are included in the tar archive. File format is ASPRS LAS. Note that additional gzip-compression has been applied to the archives. raw-data_<glacier>_<datestamp>.tar Raw data of each of the surveys that were performed over 2013–2018. The filename includes the glacier name and the survey date. Each tar archive contains directories for each UAV flight associated to that specific survey, indicated by f1, f2, ..., fn. The flight directories have the following contents: img Subdirectory that contains the individual images in JPEG format captured by the UAV camera. *flight_path.kml (not present for all surveys) Keyhole Markup Language file that contains the flight path of the UAV recorded by the UAV's internal GPS+GLONASS sensor. *image_geoinfo.txt Table with coordinates (x,y,z) and UAV orientation (roll, tilt, yaw) for every image in img, which were recorded by the UAV's internal GPS+GLONASS sensor and gyroscope, respectively. *drone_log.bbx or *drone_log.bb3 Binary flight log file from the UAV containing detailed flight information. Can be read by the proprietary eMotion software by UAV manufacturer senseFly. supplementary-animation_<glacier>.gif Animations of Langtang Glacier (2014–2018) and Lirung Glacier (2013–2017) supplementary to Kraaijenbrink & Immerzeel (2020). The high resolution time lapse animations are constructed from composites of the orthomosaic and hillshaded DEM. Since the animations are in GIF format, they are best viewed in a web browser in which they can be zoomed and panned. supplementary-data-to-article.tar Data derivatives as presented in Kraaijenbrink & Immerzeel (2020). The tar archive contains a README file with additional information and metadata for each of the datasets present in the archive. The archive contains: Independent error measurements of the Lirung Glacier UAV product Vector outlines of the area of interests of both glaciers Point cloud extracts of supraglacial ice cliff cross profiles Flow and gradient corrected DEMs (1 m resolution) Pixel-wise regression of the flow-corrected DEMs (1 m resolution) Surface velocity between survey pairs (8 m resolution) Reference For further information, e.g. about the UAV systems and cameras used, as well as detailed descriptions of the data and the applied data processing please refer to: <Insert reference> License This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). (https://creativecommons.org/licenses/by/4.0/) Correspondence Dr Philip Kraaijenbrink (p.d.a.kraaijenbrink@uu.nl) Prof Dr Walter Immerzeel (w.w.immerzeel@uu.nl) This dataset is enabled by the funds of the Climate-KIC programme from the European Institute of Innovation and Technology (EIT), The UK Department for International Development (grant agreement No. PO40082504), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 676819), The Netherlands Organization for Scientific Research (NWO) under the Innovational Research Incentives Scheme VIDI (grant agreement 016.181.308), by the Strategic Priority Research Program of the Chinese Academy of Sciences (grant agreement number XDA20100300), and by core funds of The International Centre of Integrated Mountain Development (ICIMOD).
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 252visibility views 252 download downloads 16 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:Zenodo Funded by:EC | GenTreeEC| GenTreeAuthors: Petit-Cailleux;Petit-Cailleux;Data and tables in chapters 2 and 3 of the thesis
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 27visibility views 27 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2019 Italy English Funded by:EC | BlueBRIDGE, EC | AGINFRA PLUSEC| BlueBRIDGE ,EC| AGINFRA PLUSAuthors: Mangiacrapa F.; Perciante C.;Mangiacrapa F.; Perciante C.;The gCube Data Catalogue is a software component that provides facilities for: a) (meta)data publishing; b) vres' products publishing; c) making data products publicly available; d) enriching products of metadata to maximise their potential reuse and making them searchable (via title, tags etc) are based on the CKAN technology. The gcube-ckan-datacatalog Web Application allows to (a) show all the metadata available in the CKAN instance, as well as publish a new product, retrieve the list of organizations (i.e. Virtual Research Environments) to which the user belongs and his/her already published products.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=dedup_wf_002::9bdae7c0ad21dbbaef686de2ac27d983&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2019 Italy English Funded by:EC | AGINFRA PLUSEC| AGINFRA PLUSAuthors: Sinibaldi F.;Sinibaldi F.;gFeed is an extendable gCube service which manages both Data Retrieval from multiple sources and Data Transformation and publication towards multiple destinations.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::38d68d80b195770dfc302e27be75b89e&type=result"></script>'); --> </script>
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integration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | DiverfarmingEC| DiverfarmingAuthors: Marianna Cerasuolo;Marianna Cerasuolo;ECOSSE executable file for Mac and Windows and example of input files. The model ECOSSE, initially developed by Prof. Jo Smith (University of Aberdeen), was modified to account of all diversifications and land uses considered in Diverfarming.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 43visibility views 43 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Publisher:Zenodo Funded by:EC | TRADITOM, EC | G2P-SOL, EC | HARNESSTOMEC| TRADITOM ,EC| G2P-SOL ,EC| HARNESSTOMAuthors: Clara Pons; Antonio J.Monforte;Clara Pons; Antonio J.Monforte;Dataset 6. Complete set of imputed SNPs located on chromosomes and accessions. Dataset 7. Complete set of SNPs located on chromosomes and accessions that have passed all filters.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5720771&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 80visibility views 80 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5720771&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022 Italy English Funded by:EC | Blue Cloud, EC | MOVINGEC| Blue Cloud ,EC| MOVINGLenzi E.; Bartalesi V.; Pratelli N.; Coro G.; Pagano P.;In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface. The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event). All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared. Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::7798d971d586c6d4d30ce54f8048e25f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 56visibility views 56 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______9984::7798d971d586c6d4d30ce54f8048e25f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 Italy English Funded by:EC | Blue Cloud, EC | DESIRA, EC | SoBigData-PlusPlus +1 projectsEC| Blue Cloud ,EC| DESIRA ,EC| SoBigData-PlusPlus ,EC| EOSC-PillarAuthors: Mangione D.; Candela L.; Castelli D.;Mangione D.; Candela L.; Castelli D.;Datasets accompanying the study "A Taxonomy of Tools and Approaches for FAIRification" on the tools and approaches emerging from stakeholders' experiences adopting the FAIR principles in practice.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 Italy English Funded by:EC | SoBigData-PlusPlus, EC | Blue Cloud, EC | EOSC-Pillar +1 projectsEC| SoBigData-PlusPlus ,EC| Blue Cloud ,EC| EOSC-Pillar ,EC| DESIRAAuthors: Candela L.; Castelli D.; Mangione D.;Candela L.; Castelli D.; Mangione D.;Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 Italy English Funded by:EC | AGINFRA PLUSEC| AGINFRA PLUSAuthors: Sinibaldi F.;Sinibaldi F.;The Java library is a component of gCube framework aimed at translating CKAN items into Zenodo depositions, allowing contextual editing and publication.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 EnglishPublisher:Zenodo Funded by:EC | CATEC| CATAuthors: Kraaijenbrink, P. D. A.; Immerzeel, W. W.;Kraaijenbrink, P. D. A.; Immerzeel, W. W.;This dataset contains the raw data as well as produced image mosaics, digital elevation models (DEMs) and data derivatives of optical (RGB) unmanned aerial vehicle surveys of the debris-covered Lirung Glacier (9 surveys, 2013–2018) and Langtang Glacier (7 surveys, 2014–2018) in the Langtang Catchment, Nepalese Himalaya. All data in this dataset are stored in tape archive (tar) or gzip-compressed tape archive (tar.gz) formats and require extraction before use. The projected coordinate system used in this dataset is WGS 1984 UTM Zone 45N (EPSG:32645). Survey dates are always provided as yyyymmdd. File descriptions dems_<glacier>.tar 20 cm resolution DEMs that were derived from the raw UAV images. DEMs of all survey dates are included in the tar archives. File format is GeoTIFF. orthomosaics_<glacier>.tar 10 cm resolution image mosaics of orthorectified source imagery (orthomosaics) that were derived from the raw UAV images. Orthomosaics of all survey dates are included in the tar archives. File format is GeoTIFF. point-clouds_<glacier>.tar.gz Raw dense point clouds that were derived from the raw UAV images. Point clouds of all survey dates are included in the tar archive. File format is ASPRS LAS. Note that additional gzip-compression has been applied to the archives. raw-data_<glacier>_<datestamp>.tar Raw data of each of the surveys that were performed over 2013–2018. The filename includes the glacier name and the survey date. Each tar archive contains directories for each UAV flight associated to that specific survey, indicated by f1, f2, ..., fn. The flight directories have the following contents: img Subdirectory that contains the individual images in JPEG format captured by the UAV camera. *flight_path.kml (not present for all surveys) Keyhole Markup Language file that contains the flight path of the UAV recorded by the UAV's internal GPS+GLONASS sensor. *image_geoinfo.txt Table with coordinates (x,y,z) and UAV orientation (roll, tilt, yaw) for every image in img, which were recorded by the UAV's internal GPS+GLONASS sensor and gyroscope, respectively. *drone_log.bbx or *drone_log.bb3 Binary flight log file from the UAV containing detailed flight information. Can be read by the proprietary eMotion software by UAV manufacturer senseFly. supplementary-animation_<glacier>.gif Animations of Langtang Glacier (2014–2018) and Lirung Glacier (2013–2017) supplementary to Kraaijenbrink & Immerzeel (2020). The high resolution time lapse animations are constructed from composites of the orthomosaic and hillshaded DEM. Since the animations are in GIF format, they are best viewed in a web browser in which they can be zoomed and panned. supplementary-data-to-article.tar Data derivatives as presented in Kraaijenbrink & Immerzeel (2020). The tar archive contains a README file with additional information and metadata for each of the datasets present in the archive. The archive contains: Independent error measurements of the Lirung Glacier UAV product Vector outlines of the area of interests of both glaciers Point cloud extracts of supraglacial ice cliff cross profiles Flow and gradient corrected DEMs (1 m resolution) Pixel-wise regression of the flow-corrected DEMs (1 m resolution) Surface velocity between survey pairs (8 m resolution) Reference For further information, e.g. about the UAV systems and cameras used, as well as detailed descriptions of the data and the applied data processing please refer to: <Insert reference> License This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). (https://creativecommons.org/licenses/by/4.0/) Correspondence Dr Philip Kraaijenbrink (p.d.a.kraaijenbrink@uu.nl) Prof Dr Walter Immerzeel (w.w.immerzeel@uu.nl) This dataset is enabled by the funds of the Climate-KIC programme from the European Institute of Innovation and Technology (EIT), The UK Department for International Development (grant agreement No. PO40082504), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 676819), The Netherlands Organization for Scientific Research (NWO) under the Innovational Research Incentives Scheme VIDI (grant agreement 016.181.308), by the Strategic Priority Research Program of the Chinese Academy of Sciences (grant agreement number XDA20100300), and by core funds of The International Centre of Integrated Mountain Development (ICIMOD).
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 252visibility views 252 download downloads 16 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:Zenodo Funded by:EC | GenTreeEC| GenTreeAuthors: Petit-Cailleux;Petit-Cailleux;Data and tables in chapters 2 and 3 of the thesis
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 27visibility views 27 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2019 Italy English Funded by:EC | BlueBRIDGE, EC | AGINFRA PLUSEC| BlueBRIDGE ,EC| AGINFRA PLUSAuthors: Mangiacrapa F.; Perciante C.;Mangiacrapa F.; Perciante C.;The gCube Data Catalogue is a software component that provides facilities for: a) (meta)data publishing; b) vres' products publishing; c) making data products publicly available; d) enriching products of metadata to maximise their potential reuse and making them searchable (via title, tags etc) are based on the CKAN technology. The gcube-ckan-datacatalog Web Application allows to (a) show all the metadata available in the CKAN instance, as well as publish a new product, retrieve the list of organizations (i.e. Virtual Research Environments) to which the user belongs and his/her already published products.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2019 Italy English Funded by:EC | AGINFRA PLUSEC| AGINFRA PLUSAuthors: Sinibaldi F.;Sinibaldi F.;gFeed is an extendable gCube service which manages both Data Retrieval from multiple sources and Data Transformation and publication towards multiple destinations.
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